bland.altman.ade {epade}

Bland-Altman plot

Description

Plot for assessing agreement between two methods of clinical measurement

Usage

bland.altman.ade(x, y, data=NULL, ltext=TRUE, main="Bland-Altman Plot",
                 xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
                 lwd=2, cex=1, pch=16, lty=c(1,2,2), xticks=NULL, yticks=NULL,
                 col=NULL, tcol=NULL, bgcol=NULL, lcol=c(4,2,2), alpha=NULL,
                 fitline=1, wall=0, v=NULL, h=NULL, span=0.75)

Arguments

x

• a numeric vector of first mesurement

• a string with the name of first mesurement in the data.frame

y

• a numeric vector of second mesurement

• a string with the name of second mesurement in the data.frame

data

data.frame if used strings for (x,y)

ltext

• logical asking whether to draw labels for the lines

• a string vector with the labels for the lines

main

an overall title for the plot

xlab

a title for the x axis

ylab

a title for the y axis

xlim

the x limits (x1, x2) of the plot

ylim

the y limits (y1, y2) of the plot

lwd

the line width

cex

character (or symbol) expansion: a numerical value

pch

plotting "character", i.e., symbol to use. This can either be a single character or an integer code for one of a set of graphics symbols.

lty

the line type, a vector is possible

xticks

the number of ticks on the x axis or a vector of exact ticks

yticks

the number of ticks on the y axis or a vector of exact ticks

col

color of the points

tcol

color of the text in whole plot

bgcol

the background color for plot dekoration

lcol

color for the lines in plot, a vector of colors is possible

alpha

a parameter in [0, 1] for semi-transparency of points

fitline

a number between 0 and 3 to fit:

• 0. not fit

• 1. a lm regression line

• 2. a loess local regression line

• 3. a pylinomial regression line

wall

a number between 0 and 6 for selection the dekoration style of the plot.

v

the x-value(s) for vertical line(s).

h

the y-value(s) for horizontal line(s).

span

the span parameter for lowess curve fit (only if fitline=2)

Details

It is only a Wrapper function for scatter.ade. Ploting the Difference against the mean for both variables.

See Also

scatter.ade

Examples

x<-rnorm(1000, 0, 3)
y<-x+rnorm(1000, 1, 0.5)
bland.altman.ade(x, y, wall=2)